Quantitative Evaluation Model for Information Security Risk of Wireless Communication Networks Under Big Data

Abstract

Quantitative evaluation of information security risk in wireless communication network can effectively guarantee the security of communication network. In order to solve the problem that the traditional network security evaluation method is not effective, a quantitative risk assessment model of wireless communication network information security under big data is constructed. Using the wireless composition and working principle, the risk assessment system of wireless communication is built, and the index weight is determined. On this basis, the network information function interface is deployed, and the initial probability is calculated, and the quantitative risk assessment model of wireless communication network information security under big data is constructed. The experimental results show that under the condition of increasing the frequency of network attack, the security potential value of the model is always at a higher level, which indicates that the model has better performance and is helpful to detect the security of the system. It is convenient to provide accurate safety protection measures in time to resist safety risks.